基于小波算法的摆式列车倾摆指令实时提取

TILTING COMMAND PICK-UP BASED ON WAVELET-ANALYSIS FOR TILTING TRAIN

由于摆式列车线路检测系统测得的线路超高时变率信号是平稳的且含有幅度大、频带宽的噪声 ,难以用常规的滤波方法得到摆式列车实时倾摆指令。本文介绍了多分辨率分析的基本原理及快速算法 ,讨论了基函数的选取 (构造 )原则。根据超高时变率信号的特征 ,合理选择基函数 ,提出了一种对流式数据的实时滤波算法 ,通过对仿真和线路试验实测数据的处理与常规滤波方法进行了比较。结果表明 ,该算法能更快地实时提取摆式列车倾摆指令。

The principle of multi_resolution analysis (MRA) is introduced in the paper.so does its fast algorithm.The method of how to select or construct a basic function is discussed in principle.A basic function in MRA space is selected in terms of the characters of super elevation rate signal.A real_time filtering algorithm for flowing data is also presented by using MRA,then it is compared to a conventional filtering method via the processing of simulation and real data.Efficiency of the MRA algorithm is demonstrated by the result of real_time pick_up of the tilting command.